title: Detecting the Progression of Eye Disease: CUSUM Charts for Assessing the Visual Field and Retinal Nerve Fiber Layer Thickness.
abstract: OBJECTIVE
  The cumulative sum (CUSUM) is proposed and tested in a group of glaucoma patients and healthy subjects as a method for monitoring disease progression and for identifying clinically significant step changes in visual structure or function.
  
  
  METHODS
  The CUSUM procedure is the recommended method for the timely detection of small step changes in manufacturing process control. The CUSUM procedure is discussed and compared with traditional approaches for the detection of change in the status of the visual system over time. The CUSUM approach is used to monitor over time visual field (VF) mean deviations and optical coherence tomography (OCT) measurements of retinal nerve fiber layer (RNFL) thickness in 53 healthy subjects and 103 patients with glaucoma.
  
  
  RESULTS
  The CUSUM method detects VF progression for 35 of the 103 glaucoma patients (34.0%), and OCT RNFL reductions for 20 of the 103 glaucoma patients (19.4%).
  
  
  CONCLUSIONS
  The CUSUM method is effective in detecting small level changes. This method can be used to monitor the progression of disease and it benefits the clinician who must decide, on the basis of a time series of variable data, whether a change has occurred.
  
  
  CONCLUSIONS
  A cumulative sum chart helps the clinician decide whether a step change has taken place, and it does so as quickly as possible. This approach is particularly effective for detecting small step changes, which very likely are unnoticed with currently used change detection approaches.
authors.affiliation: Department of Management Sciences/Department of Statistics and Actuarial Science, University of Iowa, and Department of Veterans Affairs Medical Center, Iowa City, Iowa.
authors.forename: Johannes
authors.initials: J
authors.lastname: Ledolter
authors.forename: Randy
authors.initials: R
authors.lastname: Kardon
keywords: glaucoma; optical coherence tomography; statistical process control; visual fields